#Osirix dicom viewer risk analysis software#

The secondary aims were to evaluate the feasibility and interreader reliability of the CaM.Ģ.3. Taking into account this information we designed the present study aimed to evaluate the performance of a computerized-aided method (CaM) for the quantification of ILD, in patients with SSc and to determine its correlation with respect to both the conventional visual reader-based score (CoVR) and the PFTs findings. Results for the reliability of the open-source findings were also acceptable.

#Osirix dicom viewer risk analysis software#

We recently investigated the utility of an open-source Digital Imaging and Communication in Medicine viewer software OsiriX to assess ILD in patients with SSc showing a significant association between the quantitative OsiriX assessment and the conventional HRCT semiquantitative analysis. With respect to the traditional visual interpretation of HRCT lung findings, the automatic computer-based assessment may improve the objectivity, sensitivity, and repeatability of quantitative changes in the lung features. Additionally, the acquisition of more sophisticated image analysis including the fractal analysis and the adaptive multiple feature method is possible. They also provide computer-derived measures such as mean lung attenuation (MLA) (representing the average global attenuation value of the pulmonary parenchyma), skewness (representing the extent of asymmetry of histograms), and kurtosis (representing the degree of “peakedness” of the histograms). They include image display (e.g., multiplanar reformations and surface shading for three-dimensional and volume rendering), anatomic image quantitation (e.g., area and volume of airways and lungs), and regional characterization of lung tissue (analyzing attenuation, changes in attenuation, and texture patterns in the imaged lung).

To date, several computerized tools to segment automatically the lung, using HRCT images, have been developed. Therefore, a quantitative, noninvasive and reliable imaging method able to permit an accurate assessment of ILD in SSc is highly desirable. ĭespite these characteristics the correct interpretation of HRCT findings still represents often a problem for the inexperienced physicians since there is a wide interobserver variability even among expert radiologists. Moreover its findings have demonstrated a good correlation with the pulmonary function tests (PFTs) acquiring a prognostic value for ILD. High resolution computed tomography (HRCT) is currently the most accepted imaging tool for the detection, characterization, and treatment monitoring of ILD. Interstitial lung disease (ILD) was reported in up to 70% of patients with SSc and frequently it can be cause of death of these patients. Systemic sclerosis (SSc) is a heterogeneous autoimmune disorder of unknown aetiology that is characterized by musculoskeletal involvement, vascular dysfunction, cutaneous and visceral fibrosis.

CaM quantification of SSc-ILD can be useful in the assessment of extent of lung disease and may provide reliable tool in daily clinical practice and clinical trials. A CaM optimal extent threshold of 20% represented the best compromise between sensitivity (75.6%) and specificity (97.4%). The CaM showed a significant negative correlation with forced vital capacity (FVC) ( P < 0.0001) and the single breath carbon monoxide diffusing capacity of the lung (DLco) ( P < 0.0001). A strong correlation between CaM and CoVR was observed ( P < 0.0001). Receiver operating curve analysis was performed for determination of CaM extent threshold. The relationships among the lung segmentation analysis, the readers, and the PFTs results were calculated using linear regression analysis and Pearson's correlation. All HRCT images were then analysed by a CaM using a DICOM software. All patients underwent chest high resolution computed tomography (HRCT) scored by two radiologists adopting the CoVR. To evaluate the performance of a computerized-aided method (CaM) for quantification of interstitial lung disease (ILD) in patients with systemic sclerosis and to determine its correlation with the conventional visual reader-based score (CoVR) and the pulmonary function tests (PFTs).